Computational Epigenetics and Diseases

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  • Computational Epigenetics and Diseases Book Detail

  • Author :
  • Release Date : 2019-02-11
  • Publisher : Academic Press
  • Genre : Business & Economics
  • Pages : 0
  • ISBN 13 : 9780128145135
  • File Size : 71,71 MB
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Computational Epigenetics and Diseases by PDF Summary

Book Description: Computational Epigenetics and Diseases, written by leading scientists in this evolving field, provides a comprehensive and cutting-edge knowledge of computational epigenetics in human diseases. In particular, the major computational tools, databases, and strategies for computational epigenetics analysis, for example, DNA methylation, histone modifications, microRNA, noncoding RNA, and ceRNA, are summarized, in the context of human diseases. This book discusses bioinformatics methods for epigenetic analysis specifically applied to human conditions such as aging, atherosclerosis, diabetes mellitus, schizophrenia, bipolar disorder, Alzheimer disease, Parkinson disease, liver and autoimmune disorders, and reproductive and respiratory diseases. Additionally, different organ cancers, such as breast, lung, and colon, are discussed. This book is a valuable source for graduate students and researchers in genetics and bioinformatics, and several biomedical field members interested in applying computational epigenetics in their research.

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Computational Epigenetics and Diseases

Computational Epigenetics and Diseases

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Computational Epigenetics and Diseases, written by leading scientists in this evolving field, provides a comprehensive and cutting-edge knowledge of computation

Computational Epigenomics and Disease

Computational Epigenomics and Disease

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Computational Epigenomics and Diseases: Epigenomic Data Analytics for Human Health Application explains the current computational approaches inferring epigeneti

Computational and Statistical Epigenomics

Computational and Statistical Epigenomics

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This book introduces the reader to modern computational and statistical tools for translational epigenomics research. Over the last decade, epigenomics has emer